Sync README for deepghs/anime_classification, on 2024-09-23 16:35:46 UTC

README.md

@@ -18,7 +18,7 @@ The model used to predict the types of anime images, which includes the followin
 
 |             Name              |  FLOPS  |  Params  |  Accuracy  |  AUC   |                                                          Confusion                                                          |                          Labels                          |
 |:-----------------------------:|:-------:|:--------:|:----------:|:------:|:---------------------------------------------------------------------------------------------------------------------------:|:--------------------------------------------------------:|
-| caformer_s36_v1.4_focal_fixed | 22.10G  |  37.22M  |   95.85%   | 0.9968 | [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36_v1.4_focal_fixed/plot_confusion.png) | `3d`, `bangumi`, `comic`, `illustration`, `not_painting` |
+| caformer_s36_v1.4_focal_fixed | 22.10G  |  37.22M  |   96.08%   | 0.9970 | [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36_v1.4_focal_fixed/plot_confusion.png) | `3d`, `bangumi`, `comic`, `illustration`, `not_painting` |
 | caformer_s36_v1.4_focal_fp32  | 22.10G  |  37.22M  |   95.98%   | 0.9969 | [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36_v1.4_focal_fp32/plot_confusion.png)  | `3d`, `bangumi`, `comic`, `illustration`, `not_painting` |
 |     mobilenetv3_v1.4_dist     |  0.63G  |  4.18M   |   94.77%   | 0.9950 |     [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3_v1.4_dist/plot_confusion.png)     | `3d`, `bangumi`, `comic`, `illustration`, `not_painting` |
 |    caformer_s36_v1.4_focal    | 22.10G  |  37.22M  |   95.82%   | 0.9967 |    [confusion](https://huggingface.co/deepghs/anime_classification/blob/main/caformer_s36_v1.4_focal/plot_confusion.png)    | `3d`, `bangumi`, `comic`, `illustration`, `not_painting` |
@@ -45,4 +45,5 @@ The model used to predict the types of anime images, which includes the followin
 |   mobilenetv3_dist   |  0.63G |  91.98%  |   [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3_dist/plot_confusion.png)   | Distrillated from caformer_s36_plus, using mobilenetv3_large_100 with focal loss |
 |    mobilenetv3_sce   |  0.63G |  89.92%  |    [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3_sce/plot_confusion.png)   | Model: mobilenetv3_large_100 from timm, use SCELoss as loss function             |
 | mobilenetv3_sce_dist |  0.63G |  92.35%  | [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilenetv3_sce_dist/plot_confusion.png) | Distrillated from caformer_s36_plus, using mobilenetv3_large_100 with SCELoss    |
-|    mobilevitv2_150   |  9.09G |  88.21%  |    [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilevitv2_150/plot_confusion.png)   | Model: mobilevitv2_150 from timm                                                 |
+|    mobilevitv2_150   |  9.09G |  88.21%  |    [Confusion Matrix](https://huggingface.co/deepghs/anime_classification/blob/main/mobilevitv2_150/plot_confusion.png)   | Model: mobilevitv2_150 from timm                                                 |
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